A Fitness E-Coaching System Based on Wearable Sensing Technology
To avoid possible physical injury and achieve the desired results, it is essential to exercise with the correct movements and postures. However, the cost is high to frequently consult professional fitness coaches. Instead, online tutorial videos are one of the most popular alternatives. But learners may not aware of having wrong actions by only watching the videos. In this work, a fitness e-coaching system based on wearable sensing technology that gives timely advices besides watching videos is developed. Algorithms including repetition counting and activity segmentation are developed to extract motion features. The error rate of the counting algorithm is 1.9%. The extracted information can be used to build movement models, especially to build reference model from coach’s dataset. Last, a coaching method that incorporates the coach model is developed to analyze the quality of exercise then give advices. To present the result, an App is implemented. Users first choose the exercise they want to do, then a tutorial video with guides of how to do the exercise correctly will be provide to the users. Last, users do the exercise with wearable sensors and get information and advices about the exercise.
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